MusiClef: Multimodal music tagging task

Nicola Orio; Cynthia C.S. Liem; Geoffroy Peeters; Markus Schedl

doi:10.1007/978-3-642-33247-0_5

MusiClef: Multimodal music tagging task

Nicola Orio, Cynthia C.S. Liem, Geoffroy Peeters, Markus Schedl

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave New Task on Multimodal Music Tagging. This paper describes the setup of this task, showing how it complements existing benchmarking initiatives and fosters less explored methodological directions in Music Information Retrieval. MusiClef deals with a concrete use case, encourages multimodal approaches based on these, and strives for transparency of results as much as possible. Transparency is encouraged at several levels and stages, from the feature extraction procedure up to the evaluation phase, in which a dedicated categorization of ground truth tags will be used to deepen the understanding of the relation between the proposed approaches and experimental results.

Original language	English
Title of host publication	Information Access Evaluation
Subtitle of host publication	Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings
Publisher	Springer Verlag
Pages	36-41
Number of pages	6
ISBN (Print)	9783642332463
DOIs	https://doi.org/10.1007/978-3-642-33247-0_5
Publication status	Published - 1 Jan 2012
Externally published	Yes
Event	3rd International Conference of the CLEF Initiative, CLEF 2012 - Rome, Italy Duration: 17 Sept 2012 → 20 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7488 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference of the CLEF Initiative, CLEF 2012
Country/Territory	Italy
City	Rome
Period	17/09/12 → 20/09/12

Access to Document

10.1007/978-3-642-33247-0_5

Cite this

Orio, N., Liem, C. C. S., Peeters, G., & Schedl, M. (2012). MusiClef: Multimodal music tagging task. In Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings (pp. 36-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7488 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33247-0_5

Orio, Nicola ; Liem, Cynthia C.S. ; Peeters, Geoffroy et al. / MusiClef : Multimodal music tagging task. Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. Springer Verlag, 2012. pp. 36-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{69ce941c1a7f4c32ba802ad5857aa4b2,

title = "MusiClef: Multimodal music tagging task",

abstract = "MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave New Task on Multimodal Music Tagging. This paper describes the setup of this task, showing how it complements existing benchmarking initiatives and fosters less explored methodological directions in Music Information Retrieval. MusiClef deals with a concrete use case, encourages multimodal approaches based on these, and strives for transparency of results as much as possible. Transparency is encouraged at several levels and stages, from the feature extraction procedure up to the evaluation phase, in which a dedicated categorization of ground truth tags will be used to deepen the understanding of the relation between the proposed approaches and experimental results.",

author = "Nicola Orio and Liem, \{Cynthia C.S.\} and Geoffroy Peeters and Markus Schedl",

year = "2012",

month = jan,

day = "1",

doi = "10.1007/978-3-642-33247-0\_5",

language = "English",

isbn = "9783642332463",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "36--41",

booktitle = "Information Access Evaluation",

note = "3rd International Conference of the CLEF Initiative, CLEF 2012 ; Conference date: 17-09-2012 Through 20-09-2012",

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Orio, N, Liem, CCS, Peeters, G & Schedl, M 2012, MusiClef: Multimodal music tagging task. in Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7488 LNCS, Springer Verlag, pp. 36-41, 3rd International Conference of the CLEF Initiative, CLEF 2012, Rome, Italy, 17/09/12. https://doi.org/10.1007/978-3-642-33247-0_5

MusiClef: Multimodal music tagging task. / Orio, Nicola; Liem, Cynthia C.S.; Peeters, Geoffroy et al.
Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. Springer Verlag, 2012. p. 36-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7488 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MusiClef

T2 - 3rd International Conference of the CLEF Initiative, CLEF 2012

AU - Orio, Nicola

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PY - 2012/1/1

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N2 - MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave New Task on Multimodal Music Tagging. This paper describes the setup of this task, showing how it complements existing benchmarking initiatives and fosters less explored methodological directions in Music Information Retrieval. MusiClef deals with a concrete use case, encourages multimodal approaches based on these, and strives for transparency of results as much as possible. Transparency is encouraged at several levels and stages, from the feature extraction procedure up to the evaluation phase, in which a dedicated categorization of ground truth tags will be used to deepen the understanding of the relation between the proposed approaches and experimental results.

AB - MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave New Task on Multimodal Music Tagging. This paper describes the setup of this task, showing how it complements existing benchmarking initiatives and fosters less explored methodological directions in Music Information Retrieval. MusiClef deals with a concrete use case, encourages multimodal approaches based on these, and strives for transparency of results as much as possible. Transparency is encouraged at several levels and stages, from the feature extraction procedure up to the evaluation phase, in which a dedicated categorization of ground truth tags will be used to deepen the understanding of the relation between the proposed approaches and experimental results.

U2 - 10.1007/978-3-642-33247-0_5

DO - 10.1007/978-3-642-33247-0_5

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Orio N, Liem CCS, Peeters G, Schedl M. MusiClef: Multimodal music tagging task. In Information Access Evaluation: Multilinguality, Multimodality, and Visual Analytics - Third International Conference of the CLEF Initiative, CLEF 2012, Proceedings. Springer Verlag. 2012. p. 36-41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33247-0_5

MusiClef: Multimodal music tagging task

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